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7111cd6ee0
The error message changes from:
```python
-torch._dynamo.exc.Unsupported: Expected branches to return tensors with same metadata. [(tensor_pair, difference)...]:[('pair0:', TensorMetadata(shape=torch.Size([4, 3]), dtype=torch.float32, requires_grad=False, stride=(3, 1), memory_format=None, is_quantized=False, qparams={}), TensorMetadata(shape=torch.Size([2, 3]), dtype=torch.float32, requires_grad=False, stride=(3, 1), memory_format=None, is_quantized=False, qparams={}))]
```
to
```python
+torch._dynamo.exc.Unsupported: Expect branches to return tensors with same metadata but find pair[0] differ in 'shape', where lhs is TensorMetadata(shape=torch.Size([4, 3]), dtype=torch.float32, requires_grad=False, stride=(3, 1), memory_format=None, is_quantized=False, qparams={}) and rhs is TensorMetadata(shape=torch.Size([2, 3]), dtype=torch.float32, requires_grad=False, stride=(3, 1), memory_format=None, is_quantized=False, qparams={})
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/142162
Approved by: https://github.com/zou3519
Note [TH abstraction violation] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ TH/THC provide some hpp headers, which are proper C++ headers rather than C headers. These headers serve double duty as *internal implementation detail* headers, whose contents should largely not be used by external clients. Ideally, we would not install these headers at all; instead, you should use public functions (in headers like `THTensor.h`, NOT `THTensor.hpp`) to manipulate these structs. However, there are a few places in torch/csrc where we violate this abstraction. They are marked with a pointer to this note. Each of those sites will have to be refactored when we refactor the guts of THTensor and related structures.